AI adoption in real estate grows rapidly

In 2025, 26% of real estate agencies with ten or more employees reported using at least one AI technology, up from 14% in 2024 and 7% in 2023. This shows a significant increase in the adoption of artificial intelligence within the sector, although it remains in early stages.

Individual use dominates AI in agencies

Most real estate professionals use AI on a personal level, often through free accounts, to assist with tasks like writing ads or emails. While this provides time savings on individual tasks, it does not integrate into broader agency processes, leading to inefficiencies like repeated data entry and reliance on personal memory.

Challenges of scattered AI use

The use of AI in personal accounts raises concerns about data security and compliance. Many agencies lack clear policies on how such data is handled, and the conditions of use for these tools are often not reviewed by staff. This creates potential legal and operational risks.

Barriers to AI adoption in real estate

According to INSEE, 54% of agencies not using AI cite a lack of expertise as a barrier, while 53% of those using it also face similar challenges. Other issues include incompatibility with existing software and uncertainty around data protection laws. These factors make it difficult for agencies to implement AI effectively.

AI struggles with organizational issues

Real estate agencies face unique challenges in adopting AI, such as the dual role of agency leaders as negotiators and the lack of dedicated IT support. The existing stack of tools, including transaction software and messaging apps, also complicates integration. A mistake in using AI, like an incorrect estimate or poorly worded message, can have significant consequences.

Successful AI integration starts with process

Agencies that successfully implement AI focus on changing their processes rather than just adding tools. One example is rewriting the process for generating visit reports, using AI to streamline the task and ensure timely updates. This shift involves redefining who does what, when, and who validates the work.

Implementing new methods requires team involvement

A key step in adopting AI is involving the team in the process. A designated person, not necessarily the director, can test new methods and gather feedback. Training is most effective when applied to real agency tasks, and the time saved by colleagues can be a strong motivator for independent sales agents.

Sustaining AI use depends on method changes

Before expanding AI use, agencies must ensure the new method is working effectively. They check if reports are completed on time, if client follow-ups improve, and if the team uses the tools consistently. Over time, as the team becomes more familiar with the method, the need for external support decreases. The transformation of real estate agencies will depend on changing their working methods, not just adding more technology.